Home // ALLDATA 2015, The First International Conference on Big Data, Small Data, Linked Data and Open Data // View article

RDF based Linked Open Data Management as a DaaS Platform

Authors:
Seonho Kim
Ivan Berlocher
Tony Lee

Keywords: Linked Data Platform, RDF, Data as a Service, Data Integration, Open Data

Abstract:
In this paper we discuss the architecture and the processes for Resource Description Framework (RDF) based Linked Open Data as a Service (LODaaS), considering practical use cases. LODaaS is different from the usual Linked Data Platform (LDP) or Data Warehouse (DW), and as such, has to consider its own stakeholders and the processes of data publishing and consuming based on agreed ontology schema. The datasets should be transformed, published and consumed following the schema so that datasets could be shared, linked together and queried by 3rd party services without difficulty regarding data structures and queries. We implemented the Personalized and Localized Urban Quality Index (PLUQI) application for a data consumption use case, utilizing DaPaaS as a LODaaS platform. To implement this, s we designed an ontology schema, collected and published the datasets into the DaPaaS platform and reused these via the endpoint for PLUQI web service.

Pages: 58 to 61

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-445-9

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2016